Data Engineer

Що робити

Design, develop, and optimize scalable data pipelines using Python and PySpark.
Build, manage, and optimize big data solutions leveraging Google Cloud Platform (BigQuery, DataProc, Dataflow).
Collaborate with cross-functional teams to translate business requirements into efficient data models and workflows.
Ensure data accuracy, consistency, and availability across multiple systems and applications.
Implement best practices for data governance, quality, and security.

All professional skills required to fulfill the following general task description:
Works as a developer and is responsible for the development and programming of software, tools, systems, etc., as well as the associated troubleshooting and error analysis. This role requires comprehensive knowledge of various programming languages as well as appropriate development tools, methodologies, and development processes.
Works on the integration of systems, applications, or databases with one another or into other systems/software. This role requires exceptional knowledge of scripting and various programming languages, along with relevant integration tools, methods, and processes. It also requires a strong understanding of the technologies or systems being integrated.
Also works as an engineer and documents operational requirements in the form of system performance parameters and system configurations. He/she is additionally responsible for ensuring the seamless integration of architecture and development.
This also includes system integration or network integration activities, for example, SDM.

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